ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification

no code implementations • 14 Jun 2020 • Bingzhao Zhu, Masoud Farivar, Mahsa Shoaran

We trained the resource-efficient oblique tree with power-efficient regularization (ResOT-PE) on three neural classification tasks to evaluate the performance, memory, and hardware requirements.

Classification Edge-computing +4